Risk Analysis of Water Treatment Plant Using Fuzzy-Integrated Approach

Srivastava, Priyank; Agrawal, Mohit; Narayanan, G.; Tandon, Manik; Tulsian, Mridul; Khanduja, Dinesh

doi:10.1007/978-981-13-0761-4_73

Cited by 4 publications

(4 citation statements)

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“…Hence, FLT approach has found wider application for reliability analysis in process industries for more than two decades. Fuzzy theory-based risk analysis was also carried out by many other authors, utilizing fuzzy IF-THEN-FMEA approach, in varied industries such as paper industry (Sharma and Sharma, 2012), textile company (Supciller and Abali, 2015), thermal plant (Panchal and Kumar, 2017), treatment plant (Srivastava et al ., 2019a, b), sugar mill (Srivastava et al ., 2020) and pipeline industry (Hasan et al ., 2022). Although IF-THEN rule has found wider application in risk analysis, there are many inherent demerits associated with this approach.…”

Section: Literature Backgroundmentioning

confidence: 99%

“…This incorporation of hesitation elements results in a higher degree of accuracy in reliability analysis. Over time, numerous researchers have employed this approach to conduct reliability analysis for various industrial systems (Srivastava et al. , 2019a, b; Panchal et al ., 2019; Dhiman and Kumar, 2020; Gopal and Panchal, 2021; Kushwaha et al.…”

Section: Notions Of Ifsmentioning

confidence: 99%

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Performance analysis of a complex process industrial unit utilizing intuitionistic fuzzy-based integrated framework

Kushwaha,

Panchal,

Sachdeva

2024

JQME

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PurposeAn integrated intuitionistic fuzzy (IF) modelling-based framework for examining the performance analysis of a packaging unit (PU) in three different stages has been proposed.Design/methodology/approachFor the series and parallel configuration of PU, a mathematical model based on the intuitionistic fuzzy Lambda–Tau (IFLT) approach was developed in order to calculate various reliability parameters at various spreads. For determining membership and non-membership function-based reliability parameters for the top event, AND/OR gate transitions expression was employed.FindingsFor 15%–30% spread, unit’s availability for the membership function falls by 0.006442%, and it falls even more by 0.014907% with an increase in spread from 30% to 45%. In contrast, for 15%–30% spread, the availability of non-membership function-based systems reduces by 0.007491% and further diminishes. Risk analysis has presented applying an emerging approach called intuitionistic fuzzy failure mode and effect analysis (IFFMEA). For each of the stated failure causes, the output values of the intuitionistic fuzzy hybrid weighted Euclidean distance (IFHWED)-based IFFMEA have been tabulated. Failure causes like HP1, MT6, FB9, EL16, DR23, GR27, categorized under subsystems, namely hopper, motor, fluidized bed dryer, distributor, grader and bin, respectively, with corresponding IFFMEA output scores 1.0975, 1.0190, 0.8543, 1.0228, 0.9026, 1.0021, were the most critical one to contribute in the system’s failure.Research limitations/implicationsThe limitation of the proposed framework lies in the fact that the results obtained for both reliability and risk aspects mainly depend on the correctness of raw data provided by the experts. Also, an approximate model of PU is obtained from plant experts to carry performance analysis, and hence more attention is required in constructing the model. Under IFLT, reliability parameters of PU have been calculated at various spreads to study and analyse the failure behaviour of the unit for both membership and non-membership function in the IFS of [0.6,0.8]. For both membership- and non-membership-based results, availability of the considered system shows decreasing trend. To improve the performance of the considered system, risk assessment was carried using IFFMEA technique, ranking all the critical failure causes against IFHWED score value, on which more attention should be paid so as to avoid sudden failure of unit.Social implicationsThe livelihood of millions of farmers and workers depends on sugar industries. So perpetual running of these industries is very important from this viewpoint. On the basis of findings of reliability parameters, the maintenance manager could frame a correct maintenance policy for long-run availability of the sugar mills. This long-run availability will generate revenue, which, in turn, will ensure the livelihood of the farmers.Originality/valueMathematical modelling of the considered unit has been done applying basic expressions of AND/OR gate. IFTOPSIS approach has been implemented for ranking result comparison obtained under IFFMEA approach. Eventually, sensitivity analysis was also presented to demonstrate the stability of ranking of failure causes of PU.

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Section: Literature Backgroundmentioning

confidence: 99%

Section: Notions Of Ifsmentioning

confidence: 99%

Performance analysis of a complex process industrial unit utilizing intuitionistic fuzzy-based integrated framework

Kushwaha,

Panchal,

Sachdeva

2024

JQME

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“…Panchal and Kumar (2017a, b) presented the application of fuzzy rule base PFMEA approach for studying the risk issues of compressor house unit of a thermal power plant. Srivastava et al (2019a, b) expounded the application of IF-THEN rule based PFMEA model for analyzing the risk issues of milling unit in sugar mill industry. Srivastava et al (2019a, b) again applied fuzzy IF-THEN rule base PFMEA approach for studying and analyzing the risk issues of water treatment plant.…”

Section: Literature Surveymentioning

confidence: 99%

“…Srivastava et al (2019a, b) expounded the application of IF-THEN rule based PFMEA model for analyzing the risk issues of milling unit in sugar mill industry. Srivastava et al (2019a, b) again applied fuzzy IF-THEN rule base PFMEA approach for studying and analyzing the risk issues of water treatment plant. Balaraju et al (2019) presented the application of fuzzy IF-THEN rule base PFMEA approach for evaluating the failure risk associated with Load-Haul-Dumper (LHD) in mining industry.…”

Section: Literature Surveymentioning

confidence: 99%

A novel PFMEA-Doubly TOPSIS approach-based decision support system for risk analysis in milk process industry

Das

Panchal

Tyagi

2021

IJQRM

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PurposeThis paper aims to presents a novel integrated fuzzy decision support system for analyzing the issues related to failure of a milk process plant unit.Design/methodology/approachProcess failure mode effect analysis (PFMEA) approach was implemented to list failure causes under each subsystem/component and fuzzy ratings for three risk criteria, i.e. probability of failure occurrence (O_f), severity (S) and non-detection (O_d) are collected against the listed failure causes through experts feedback. A new doubly technique for order of preference by similarity to ideal solution (DTOPSIS) approach was implemented within fuzzy PFMEA tool for ranking of listed failure causes. The proposed decision support system overcomes the restrictions of classical PFMEA and IF-THEN rule base PFMEA approaches in an effective way.FindingsFailure causes such as electrical winding failure (RM4), high pressure in plate region (C1), communication problem in supervisory control and data acquisition control (MS3), insulation problem (ST2), lever breakage (B2), gasket problem (D3), formation of holes (PHE5), cavitations (FP7), deposition of milk particle inside the pipeline because of improper cleaning (MHP2) were acknowledged as the most critical one with the application of proposed decision support system.Research limitations/implicationsThe analysis results are based on subjective judgments of the experts and therefore correctness of risk ranking results are totally dependent upon the quality of input data/information available from these experts. However, the analyst has taken proper care for considering the vagueness of the raw data by incorporating fuzzy set theory within the proposed decision support system.Practical implicationsThe proposed fuzzy decision support system has been presented with its application on milk pasteurization plant of a milk process industry. The analysis based ranking results have been supplied to maintenance manager of the plant and a consent was shown by him with these results. Once the top management of the plant took decision for the implementation of these results, the detailed robustness of the proposed decision support system could be evaluated further.Social implicationsThe analysis result would be highly useful for minimizing sudden breakdowns and operational cost of the plant which directly contributes to plant's profitability. With the decrease in the chances of sudden breakdowns there would be high safety for the people working on/off the plant's site. Further, with increase in availability of the considered plant the societal daily demand related to dairy products could be easily fulfilled at reasonable prices.Originality/valueThe performance and proficiency of the proposed decision support system has been evaluated by comparing the ranking results with classical TOPSIS and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approaches based results.

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Fuzzy methodology application for risk analysis of mechanical system in process industry

Srivastava

Khanduja

Ganesan

2019

Int J Syst Assur Eng Manag

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Risk Analysis of Water Treatment Plant Using Fuzzy-Integrated Approach

Cited by 4 publications

References 10 publications

Performance analysis of a complex process industrial unit utilizing intuitionistic fuzzy-based integrated framework

Performance analysis of a complex process industrial unit utilizing intuitionistic fuzzy-based integrated framework

A novel PFMEA-Doubly TOPSIS approach-based decision support system for risk analysis in milk process industry

Fuzzy methodology application for risk analysis of mechanical system in process industry

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